def check_embedding_quality(conversations):
from vectorize import Vectorize
vectorizer = Vectorize(conversations, MAX_VOCAB_SIZE)
word_index = vectorizer.word2idx
from embedding import Embedding
embed = Embedding(word_index)
docu_vocab = vectorizer.word_counts
embedding_vocab = embed.get_embedding_vocab()
oov_words = embed.check_coverage(docu_vocab, embedding_vocab)
print('Collected oov words.')
return oov_words
